The first command docker login will prompt you for your DockerHub ID and password. Or the Docker Quickstart Terminal (Windows). Accessing eddy4Rĭownload of the eddy4R–Docker image and subsequent creation of a local containerĬan be performed by two simple commands in an open shell (Linux Mac = Terminal) If these steps have not worked, follow the installation If these steps work, you are ready to go on to access theĮddy4R-Docker image that houses the suite of eddy4R R Prompt again, it would already be local and you'd see the message start at Next few lines are pulling the image, so if you were to run the hello-world Notice that the first line states that the image can't be found locally. You can test your installation by running the following: docker run hello-world Lines showing the different options available with docker. Note: If you run just the word docker you should see a whole bunch of When run, you will see which version of Docker you are currently running. You will need an open shell window (Linux Mac=Terminal) or the Docker The following command to make sure you are using version 1.13 or higher. Once you are done installing Docker, test your Docker installation by running If you're using an older version of Windows or MacOS, you may need to use If you're using Docker for Windows make sure you have (not edge channel) as you may encounter fewer problems. Unless you plan on being a veryĪctive user and devoloper in Docker, we recommend starting with the stable channel The "getting started" guide on Docker hasĭetailed instructions for setting up Docker. Once logged in, getting Docker up and running on your favorite operating system To work with the eddy4R–Docker image, you first need to sign up for an For more information on using Docker,Ĭonsider reading through the content from CyVerse's Container Camp's Up for use with the NEON R package eddy4R. In the tutorial below, we give the very barest of information to get Docker set Zulueta, 2019: From NEON Field Sites to Data Portal: A Community Resource for Surface–Atmosphere Research Comes Online. The eddy4R versions within the tutorial have been updated to the 1.0.0 release that accompanied the following manuscript: Geoscientific Model Development 10:3189–3206. eddy4R 0.2.0: a DevOps model for community-extensible processing and analysis of eddy-covariance data based on R, Git, Docker, and HDF5. The directions for how to access eddy4R comes from Intro to Docker and we thank them for providing the information. The directions on how to install docker are heavily borrowed from the author's You will need internet access and an up to date browser. Things You’ll Need To Complete This Tutorial Access the eddy4R package in a RStudio Docker environment.After completing this tutorial, you will be able to:
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